Clinical Outcomes and Prognostic Factors in Metastatic Triple-Negative Breast Cancer: A Real-World Data Analysis

A significant proportion of patients were diagnosed with mTNBC after symptom onset, limiting therapeutic intervention. Diagnosing mTNBC before symptomatic deterioration may expand treatment opportunities. Prospective evaluation of follow-up strategies and biomarkers is required, and further research should clarify treatment positioning, including paclitaxel plus bevacizumab and maintenance therapy with oral agents for biologically low-grade cases.

Authors

Institutions

Publication Details

Journal
World Journal of Oncology
Published
2026-03-05
DOI
https://doi.org/10.14740/wjon2713
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical Outcomes and Prognostic Factors in Metastatic Triple-Negative Breast Cancer: A Real-World Data Analysis

Yoichi Koyama, Yumiko Ushiyama, Yuko Ueki, Yumiko Ishizuka et al.
World Journal of Oncology
Breast Cancer Treatment Studies
article

Clinical Outcomes and Prognostic Factors in Metastatic Triple-Negative Breast Cancer: A Real-World Data Analysis

Yoichi Koyama, Yumiko Ushiyama, Yuko Ueki, Yumiko Ishizuka, Kyoko Orimoto, Goro Kutomi, Moe Itakura, Hiroki Kusama, Takahiko Kawate, Yoshiya Horimoto, Junichiro Watanabe, Takashi Ishikawa
article en

Abstract

A significant proportion of patients were diagnosed with mTNBC after symptom onset, limiting therapeutic intervention. Diagnosing mTNBC before symptomatic deterioration may expand treatment opportunities. Prospective evaluation of follow-up strategies and biomarkers is required, and further research should clarify treatment positioning, including paclitaxel plus bevacizumab and maintenance therapy with oral agents for biologically low-grade cases.

World Journal of OncologyVol. 17(2)
Tokyo Medical University (JP), Juntendo University (JP)
Good health and well-being
Openalex Percentile: Top 33%
Breast Cancer Treatment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.